SkylineSearch: Semantic Ranking and Result Visualization for PubMed
Summary: SkylineSearch uses MeSH-based semantic annotations to rank PubMed articles, yielding a 2D skyline of relevance vs. publication date. It enables interactive exploration beyond PubMed's search, helping researchers identify relevant references. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Julia Stoyanovich (University of Pennsylvania)
- 2. Mayur Lodha (Columbia University)
- 3. William Mee (Columbia University)
- 4. Kenneth A. Ross (Columbia University)
BibTeX Citation
@inproceedings{stoyanovich_sigmod11,
title = {{SkylineSearch: Semantic Ranking and Result Visualization for PubMed}},
author = {Stoyanovich, Julia and Lodha, Mayur and Mee, William and Ross, Kenneth A.},
series = {{SIGMOD} '11},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1989323.1989467},
url = {https://dl.acm.org/doi/10.1145/1989323.1989467},
year = {2011}
}
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